Eri Sakata
Impact in
- Structural Biology top 2%
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Cell Biology 10
- Endoplasmic Reticulum Stress and Disease 9
- Co-authors
- Wolfgang BaumeisterKeiji TanakaFlorian BeckFriedrich FörsterKoichi KatoGünter PfeiferJürgen M. PlitzkoYoshiki Yamaguchi
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Biochemical and Biophysical Research Communications (6 papers)Nature Structural & Molecular Biology (2 papers)Nature Communications (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Eri Sakata
33 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 80
- Structural Biology 83
- Cell Biology 690
- Molecular Biology 1.8k
- Oncology 460
- Epidemiology 500
Countries citing papers authored by Eri Sakata
This map shows the geographic impact of Eri Sakata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eri Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Sakata more than expected).
Fields of papers citing papers by Eri Sakata
This network shows the impact of papers produced by Eri Sakata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eri Sakata. The network helps show where Eri Sakata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eri Sakata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 15 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 19 | |
| 4 | 2022 | 5 | |
| 5 | 2018 | 89 | |
| 6 | 2016 | 32 | |
| 7 | 2014 | 13 | |
| 8 | 2014 | 96 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 27 | |
| 11 | 2011 | 58 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 112 | |
| 14 | 2010 | 19 | |
| 15 | 2008 | 96 | |
| 16 | 2007 | 98 | |
| 17 | 2006 | 57 | |
| 18 | 2006 | 25 | |
| 19 | 2005 | 101 | |
| 20 | 2003 | 189 |
About Eri Sakata
Eri Sakata is a scholar working on Structural Biology, Cell Biology, Oncology, Molecular Biology and Cancer Research, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (29 papers), Glycosylation and Glycoproteins Research (11 papers), Peptidase Inhibition and Analysis (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Autophagy in Disease and Therapy (5 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Structural Biology (83 citations), Cell Biology (690 citations), Molecular Biology (1.8k citations), Oncology (460 citations) and Epidemiology (500 citations). Eri Sakata has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Wolfgang Baumeister, Keiji Tanaka, Florian Beck, Friedrich Förster, Koichi Kato, Günter Pfeifer, Jürgen M. Plitzko, Yoshiki Yamaguchi, A. Schweitzer and Stefan Bohn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Nature Structural & Molecular Biology, Nature Communications and The Journal of Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.